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Mathematical Modelling of Cancer Treatment with Immunotherapy and Magnetic Drug Targeting

dc.contributor.authorNdenda, Joseph Protas
dc.contributor.supervisorShaw, Sachin
dc.contributor.supervisorNjagarah, Hatson
dc.date.accessioned2025-09-01T07:49:14Z
dc.date.available2025-09-01T07:49:14Z
dc.date.issued2022-11-25
dc.descriptionThesis (MSc of Mathematics and Statistical sciences)---Botswana International University of Science and Technology, 2022en_US
dc.description.abstractCancer remains one of the leading causes of death around the globe, whereas cancer therapy continues to be a major challenge for contemporary medicine due to tumor mi- croenvironments which include growth factors (cytokines and hormones), immune cells, extracellular matrix, fibroblasts, signalling molecules (cytokines and chemokines), and other connective tissue cells. As a consequence, many interstitial barriers are lifted, interfering with both convective and diffusive mechanisms of therapeutic drug penetration. Recently, with the advancement of molecular and tumor biology, treatment options such as immunotherapy and magnetic drug targeting (MDT) have significantly changed the paradigm of cancer treatment. Innovative treatment strategies have both been developed to maximize efficacy while minimizing side effects. This research aims to use theoretical analysis and numerical tools to examine the mechanism of tumor-immune dynamics, as well as how to effectively disperse therapeutical drugs to tumor sites during magnetically targeted drug delivery. In this study, we focused on the role of immunotherapy in cancer treatment studied using a fractional-order model for tumor-immune interaction incorporating the treatment of cytokine interleukin-2 (IL-2) aimed at boosting the immune system’s ability to fight cancer. Our results indicate that in some cases, adoptive cellular immunotherapy alone or a combination of the adaptive cellular immunotherapy and cytokine interleukin-2 can achieve satisfactory stable tumor control in such a way that; with little adoptive cellular immunotherapy alone to the system, the situation remains the same as without any treatment. In addition to that, a model magnetic drug targeting to determine the capture conditions on the efficient dispersion of drug-coated nanoparticles in a tumor environment was presented. Thus, drug-coated magnetic nanoparticles are taking longer times to reach the tumor as a result of higher volumes fractions of magnetic particles, the magnetiza-tion of the magnetic field, drug elimination, and source term. Furthermore, increases in tumor-magnet distance, permeability of the microvessels, Peclet number, and radius of the nanoparticles slow the ability of the drug-coated nanoparticles to reach the tumor. As a result of these observations, researchers are able to formulate essential considerations to be used in implementing potential therapeutic intervention aimed at reversing cancer therapy.en_US
dc.description.accessibilityunrestricteden_US
dc.description.departmentmssen_US
dc.description.levelphden_US
dc.identifier.citationNdenda,J,P. (2022) Mathematical Modelling of Cancer Treatment with Immunotherapy and Magnetic Drug Targeting. BIUSTen_US
dc.identifier.urihttps://repository.biust.ac.bw/handle/123456789/659
dc.language.isoenen_US
dc.publisherBIUSTen_US
dc.subjectTumor-immune interactionen_US
dc.subjectMagnetic drug targetingen_US
dc.subjectSensitivity analysisen_US
dc.subjectDrug-coated nanoparticlesen_US
dc.subjectCaputo derivativeen_US
dc.subjectCardiovascularen_US
dc.subjectImmunogenicity.en_US
dc.titleMathematical Modelling of Cancer Treatment with Immunotherapy and Magnetic Drug Targetingen_US

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